在可持续加工环境下车削哈氏合金 C-276 的建模与优化

Balkar Singh, Sehijpal Singh, V. Aggarwal, Gurpreet Singh
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摘要

由于超级合金在航空航天、化工和核电工业中的广泛应用,对环境负责的超级合金加工是当前生产环境中的一个主要问题。此外,镍基超级合金在高温和化学反应环境下具有很高的强度,因此被认为难以加工。因此,有必要使用适当的冷却和润滑解决方案来加工这些材料。目前的研究基于在干式、泛滥式和最少润滑系统下车削哈氏合金 C-276 的优化和建模。实验计划采用 Taguchi L-9 安排,并通过方差分析、回归分析和 Taguchi 优化进行建模。结果表明,表面粗糙度和温度的最佳参数分别为 v2-f1-d1-CE3 和 v1-f2-d1-CE3。同样,CRC 和剪切角的最佳组合是 v3-f3-d2-CE2。通过方差分析,C.E、切削深度和进给量对 S.R 的影响分别为 46.70%、40.44% 和 10.66%。同样,温度对切削速度的影响为 53.09%,对冷却环境的影响为 23.94%,对切削深度的影响为 6.10%,对进给量的影响为 5.49%。同样,进给率和切削速度对 CRC 和剪切角的影响分别为 62.89% 和 5.15%。此外,S.R.、温度、CRC 和剪切角的拟合值与观测值之间的最小标准误差分别为 0.0149、7.66、0.267 和 1.80 个单位。最后,通过使用 MQL,切削温度和表面粗糙度略有降低,这意味着加工条件是可持续的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Optimization of Turning Hastelloy C-276 under Sustainable Machining Environments
Due to their numerous applications in the aerospace, chemical, and nuclear power industries, environmentally responsible superalloy machining is a major problem in the current production environment. Additionally, Ni-based superalloys are regarded as difficult to manufacture because of their great strength under hot and chemically reactive settings. Therefore, it is necessary to machine these materials using adequate cooling and lubricating solutions. Current study has been based on the optimisation and modelling of turning Hastelloy C-276 under dry, flood, and least lubrication system. A Taguchi L-9 arrangement was used as plan of experiment and modeling was enabled through ANOVA, regression analysis and Taguchi optimization. The results depicted optimal parameters for surface roughness and temperature at v2-f1-d1-CE3 and v1-f2-d1-CE3. Likewise, for CRC and shear angle the best combination was observed at v3-f3-d2-CE2. From ANOVA analysis, the benefaction of C.E, depth of cut and feed rate on S.R been listed as 46.70%, 40.44% and 10.66%. Likewise, for temperature cutting speed has benefaction of (53.09%), cooling environment (23.94%), depth of cut (6.10%) and feed rate 5.49% . In similar fashion, CRC and Shear angle were influenced by feed rate and cutting speed having contribution of 62.89% and 5.15% respectively. Furthermore, minimum standard error between the fitted and observed values for S.R., temperature, CRC, and shear angle were calculated as 0.0149, 7.66, 0.267, and 1.80 units. Finally, the marginal reduction of cutting temperature and surface roughness through utilization of MQL implies the sustainable machining conditions.
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